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| Content Provider | ACM Digital Library |
|---|---|
| Author | Douglas, Graeme Lawrence, Ramon |
| Abstract | Databases have reduced the cost associated with data management by abstracting applications from information processing challenges. There is an increasing need for managing and analyzing data in smaller embedded devices and sensor nodes. Due to resource limitations, these devices typically do not have well-defined data management APIs and standards such as the relational model and SQL. This results in increased complexity and cost. LittleD is a SQL relational database allowing ad-hoc queries on sensor devices. The novel implementation of LittleD adapts to memory and code size restrictions by streamlining query parsing and execution and implementing efficient memory management techniques. Experimental results demonstrate that LittleD executes queries with joins and selections on devices with less than 2 KB memory in a few seconds. |
| Starting Page | 827 |
| Ending Page | 832 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450324694 |
| DOI | 10.1145/2554850.2554891 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-03-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Embedded device Query Sensor node Microprocessor Sql |
| Content Type | Text |
| Resource Type | Article |
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